Neural Embedding Propagation on Heterogeneous Networks. - Carl Yang 001; Jieyu Zhang 001; Jiawei Han 001 (ICDM, 2019)

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. - Carl Yang 001; Dai Teng; Siyang Liu; Sayantani Basu; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014; Jingbo Shang; Lance M. Kaplan; Timothy Harratty; Jiawei Han 001 (CoRR, 2019)

Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. - Carl Yang 001; Jieyu Zhang 001; Jiawei Han 001 (ICDM, 2020)

Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. - Carl Yang 001; Jieyu Zhang 001; Haonan Wang; Bangzheng Li; Jiawei Han 001 (SIGIR, 2020)

Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. - Carl Yang 001; Jieyu Zhang 001; Haonan Wang; Sha Li; Myunghwan Kim 002; Matt Walker; Yiou Xiao; Jiawei Han 001 (WSDM, 2020)

Taxonomy Completion via Triplet Matching Network. - Jieyu Zhang 001; Xiangchen Song; Ying Zeng; Jiaze Chen; Jiaming Shen; Yuning Mao; Lei Li 005 (AAAI, 2021)

TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). - Carl Yang 001; Jieyu Zhang 001; Jiawei Han 001 (IJCAI, 2021)

WRENCH: A Comprehensive Benchmark for Weak Supervision. - Jieyu Zhang 001; Yue Yu 001; Yinghao Li; Yujing Wang; Yaming Yang 001; Mao Yang 004; Alexander Ratner (NeurIPS Datasets and Benchmarks, 2021)

Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. - Xiangchen Song; Jiaming Shen; Jieyu Zhang 001; Jiawei Han 001 (CoRR, 2021)

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (CoRR, 2021)

Binary Classification with Positive Labeling Sources. - Jieyu Zhang 001; Yujing Wang; Yaming Yang 001; Yang Luo; Alexander Ratner (CIKM, 2022)

Creating Training Sets via Weak Indirect Supervision. - Jieyu Zhang 001; Bohan Wang; Xiangchen Song; Yujing Wang; Yaming Yang 001; Jing Bai 010; Alexander Ratner (ICLR, 2022)

A Survey on Deep Graph Generation: Methods and Applications. - Yanqiao Zhu 001; Yuanqi Du; Yinkai Wang; Yichen Xu; Jieyu Zhang 001; Qiang Liu 006; Shu Wu (LoG, 2022)

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (NAACL-HLT, 2022)

Understanding Programmatic Weak Supervision via Source-aware Influence Function. - Jieyu Zhang 001; Haonan Wang; Cheng-Yu Hsieh; Alexander J. Ratner (NeurIPS, 2022)

TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. - Minhao Jiang; Xiangchen Song; Jieyu Zhang 001; Jiawei Han 001 (WWW, 2022)

A Survey on Programmatic Weak Supervision. - Jieyu Zhang 001; Cheng-Yu Hsieh; Yue Yu 001; Chao Zhang 014; Alexander Ratner (CoRR, 2022)

Augmentation-Free Graph Contrastive Learning. - Haonan Wang; Jieyu Zhang 001; Qi Zhu 008; Wei Huang (CoRR, 2022)

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (CoRR, 2022)

Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? - Haonan Wang; Jieyu Zhang 001; Qi Zhu 008; Wei Huang (CoRR, 2022)

Label-Efficient Interactive Time-Series Anomaly Detection. - Hong Guo; Yujing Wang; Jieyu Zhang 001; Zhengjie Lin; Yunhai Tong; Lei Yang; Luoxing Xiong; Congrui Huang (CoRR, 2022)

Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. - Cheng-Yu Hsieh; Jieyu Zhang 001; Alexander J. Ratner (Proc. VLDB Endow., 2022)

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (ACL (1), 2023)

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. - Jieyu Zhang 001; Linxin Song; Alex Ratner (AISTATS, 2023)

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. - Qiang He; Huangyuan Su; Jieyu Zhang 001; Xinwen Hou (CVPR, 2023)

Subclass-balancing Contrastive Learning for Long-tailed Recognition. - Chengkai Hou; Jieyu Zhang 001; Haonan Wang; Tianyi Zhou 001 (ICCV, 2023)

When to Learn What: Model-Adaptive Data Augmentation Curriculum. - Chengkai Hou; Jieyu Zhang 001; Tianyi Zhou 001 (ICCV, 2023)

Learning Hyper Label Model for Programmatic Weak Supervision. - Renzhi Wu; Shen-En Chen; Jieyu Zhang 001; Xu Chu (ICLR, 2023)

Leveraging Relational Graph Neural Network for Transductive Model Ensemble. - Zhengyu Hu; Jieyu Zhang 001; Haonan Wang; Siwei Liu 001; Shangsong Liang (KDD, 2023)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 056 (NeurIPS, 2023)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. - Cheng-Yu Hsieh; Jieyu Zhang 001; Zixian Ma; Aniruddha Kembhavi; Ranjay Krishna (NeurIPS, 2023)

Characterizing the Impacts of Semi-supervised Learning for Weak Supervision. - Jeffrey Li; Jieyu Zhang 001; Ludwig Schmidt; Alexander J. Ratner (NeurIPS, 2023)

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. - Yue Yu 001; Yuchen Zhuang; Jieyu Zhang 001; Yu Meng 001; Alexander J. Ratner; Ranjay Krishna; Jiaming Shen; Chao Zhang 014 (NeurIPS, 2023)

On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training. - Jieyu Zhang 001; Bohan Wang; Zhengyu Hu; Pang Wei Koh; Alexander J. Ratner (NeurIPS, 2023)

Multiple Connectivity Views for Session-based Recommendation. - Yaming Yang 001; Jieyu Zhang 001; Yujing Wang; Zheng Miao; Yunhai Tong (RecSys, 2023)

Taming Small-sample Bias in Low-budget Active Learning. - Linxin Song; Jieyu Zhang 001; Xiaotian Lu; Tianyi Zhou 001 (CoRR, 2023)

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. - Qingyun Wu; Gagan Bansal; Jieyu Zhang 001; Yiran Wu; Shaokun Zhang; Erkang Zhu; Beibin Li; Li Jiang; Xiaoyun Zhang; Chi Wang 001 (CoRR, 2023)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

NLPBench: Evaluating Large Language Models on Solving NLP Problems. - Linxin Song; Jieyu Zhang 001; Lechao Cheng; Pengyuan Zhou; Tianyi Zhou 001; Irene Li (CoRR, 2023)

EcoAssistant: Using LLM Assistant More Affordably and Accurately. - Jieyu Zhang 001; Ranjay Krishna; Ahmed Hassan Awadallah; Chi Wang 001 (CoRR, 2023)

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking. - Zhengyu Hu; Jieyu Zhang 001; Yue Yu 001; Yuchen Zhuang; Hui Xiong 001 (CoRR, 2023)

Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. - Haonan Wang; Jieyu Zhang 001; Qi Zhu 008; Wei Huang; Kenji Kawaguchi; Xiaokui Xiao (Trans. Mach. Learn. Res., 2023)

Iterated Learning Improves Compositionality in Large Vision-Language Models. - Chenhao Zheng; Jieyu Zhang 001; Aniruddha Kembhavi; Ranjay Krishna (CVPR, 2024)

m &m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. - Zixian Ma; Weikai Huang; Jieyu Zhang 001; Tanmay Gupta; Ranjay Krishna (ECCV (10), 2024)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May Dongmei Wang (EMNLP, 2024)

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. - Xiaoxuan Wang; Ziniu Hu; Pan Lu; Yanqiao Zhu 001; Jieyu Zhang 001; Satyen Subramaniam; Arjun R. Loomba; Shichang Zhang; Yizhou Sun; Wei Wang 010 (ICML, 2024)

Offline Training of Language Model Agents with Functions as Learnable Weights. - Shaokun Zhang; Jieyu Zhang 001; Jiale Liu; Linxin Song; Chi Wang 001; Ranjay Krishna; Qingyun Wu (ICML, 2024)

Biomedical Visual Instruction Tuning with Clinician Preference Alignment. - Hejie Cui; Lingjun Mao; Xin Liang; Jieyu Zhang 001; Hui Ren 001; Quanzheng Li; Xiang Li 001; Carl Yang 001 (NeurIPS, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Task Me Anything. - Jieyu Zhang 001; Weikai Huang; Zixian Ma; Oscar Michel; Dong He 002; Tanmay Gupta; Wei-Chiu Ma; Ali Farhadi; Aniruddha Kembhavi; Ranjay Krishna (NeurIPS, 2024)

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May D. Wang (CoRR, 2024)

Training Language Model Agents without Modifying Language Models. - Shaokun Zhang; Jieyu Zhang 001; Jiale Liu; Linxin Song; Chi Wang 001; Ranjay Krishna; Qingyun Wu (CoRR, 2024)

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction. - Hejie Cui; Zhuocheng Shen; Jieyu Zhang 001; Hui Shao; Lianhui Qin; Joyce C. Ho; Carl Yang 001 (CoRR, 2024)

Adaptive In-conversation Team Building for Language Model Agents. - Linxin Song; Jiale Liu; Jieyu Zhang 001; Shaokun Zhang; Ao Luo; Shijian Wang; Qingyun Wu; Chi Wang 001 (CoRR, 2024)

Rethinking LLM-based Preference Evaluation. - Zhengyu Hu; Linxin Song; Jieyu Zhang 001; Zheyuan Xiao; Jingang Wang; Zhenyu Chen; Jieyu Zhao 001; Hui Xiong 001 (CoRR, 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

Language Model Preference Evaluation with Multiple Weak Evaluators. - Zhengyu Hu; Jieyu Zhang 001; Zhihan Xiong; Alexander Ratner; Hui Xiong 001; Ranjay Krishna (CoRR, 2024)

EcoAct: Economic Agent Determines When to Register What Action. - Shaokun Zhang; Jieyu Zhang 001; Dujian Ding; Mirian Hipolito Garcia; Ankur Mallick; Daniel Madrigal; Menglin Xia; Victor Rühle; Qingyun Wu; Chi Wang 001 (CoRR, 2024)

TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. - Zixian Ma; Jianguo Zhang; Zhiwei Liu 001; Jieyu Zhang 001; Juntao Tan; Manli Shu; Juan Carlos Niebles; Shelby Heinecke; Huan Wang 014; Caiming Xiong; Ranjay Krishna; Silvio Savarese (CoRR, 2024)

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. - Jieyu Zhang 001; Le Xue; Linxin Song; Jun Wang 090; Weikai Huang; Manli Shu; An Yan; Zixian Ma; Juan Carlos Niebles; Silvio Savarese; Caiming Xiong; Zeyuan Chen 001; et al. (CoRR, 2024)

Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming. - Ziqi Gao; Weikai Huang; Jieyu Zhang 001; Aniruddha Kembhavi; Ranjay Krishna (CoRR, 2024)

MaskSearch: Querying Image Masks at Scale. - Dong He 002; Jieyu Zhang 001; Maureen Daum; Alexander Ratner; Magdalena Balazinska (ICDE, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. - Linxin Song; Xuwei Ding; Jieyu Zhang 001; Taiwei Shi; Ryotaro Shimizu; Rahul Gupta; Yang Liu 084; Jian Kang; Jieyu Zhao 001 (CoRR, 2025)

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. - Shaokun Zhang; Yi Dong; Jieyu Zhang 001; Jan Kautz; Bryan Catanzaro; Andrew Tao; Qingyun Wu; Zhiding Yu; Guilin Liu (CoRR, 2025)

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. - Shaokun Zhang; Ming Yin; Jieyu Zhang 001; Jiale Liu; Zhiguang Han; Jingyang Zhang; Beibin Li; Chi Wang 001; Huazheng Wang; Yiran Chen 001; Qingyun Wu (CoRR, 2025)

H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos. - Guangrun Li; Yaoxu Lyu; Zhuoyang Liu; Chengkai Hou; Jieyu Zhang 001; Shanghang Zhang (CoRR, 2025)

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory. - Chenhao Zheng; Jieyu Zhang 001; Mohammadreza Salehi; Ziqi Gao; Vishnu Iyengar; Norimasa Kobori; Quan Kong; Ranjay Krishna (CoRR, 2025)

Spatial Mental Modeling from Limited Views. - Baiqiao Yin; Qineng Wang; Pingyue Zhang; Jianshu Zhang; Kangrui Wang; Zihan Wang 008; Jieyu Zhang 001; Keshigeyan Chandrasegaran; Han Liu; Ranjay Krishna; Saining Xie; Manling Li; et al. (CoRR, 2025)

CoAct-1: Computer-using Agents with Coding as Actions. - Linxin Song; Yutong Dai 002; Viraj Prabhu; Jieyu Zhang 001; Taiwei Shi; Li Li; Junnan Li 001; Silvio Savarese; Zeyuan Chen 001; Jieyu Zhao 001; Ran Xu 001; Caiming Xiong (CoRR, 2025)

MolmoAct: Action Reasoning Models that can Reason in Space. - Jason Lee; Jiafei Duan; Haoquan Fang; Yuquan Deng; Shuo Liu; Boyang Li; Bohan Fang; Jieyu Zhang 001; Yi Ru Wang; Sangho Lee 001; Winson Han; Wilbert Pumacay; et al. (CoRR, 2025)